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Human-Computer Interaction in Biodiversity Informatics

Human-Computer Interaction in Biodiversity Informatics. Workshop in association with the 22 nd annual HCIL Symposium and Open House Sponsored by NBII and NSF http://www.cs.umd.edu/hcil/biodiversity/workshop. Plan for the day. talks (with a break in the middle) lunch (maybe walk?) panel

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Human-Computer Interaction in Biodiversity Informatics

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  1. Human-Computer Interaction in Biodiversity Informatics Workshop in association with the 22nd annual HCIL Symposium and Open House Sponsored by NBII and NSF http://www.cs.umd.edu/hcil/biodiversity/workshop

  2. Plan for the day • talks (with a break in the middle) • lunch (maybe walk?) • panel • demos • dinner

  3. Biodiversity Biodiversity is the extraordinary variety of all life on Earth - from genes to species to entire ecosystems. -- Smithsonian Institution Monitoring and Assessment of Biodiversity Program How can we improve interaction with biodiversity information?

  4. Informatics Modified from Wikipedia “Ecoinformatics” entry Facilitate research and management by developing ways to • access biodiversity data • integrate databases of biodiversity information computational services such as predictive models, analytical, and planning tools Information and problem-centered

  5. Human-computer interaction Wikipedia “HCI” entry The study of interaction between people (users) and computers. • methodologies and processes for designing interfaces • methods for implementing interfaces • developing new interfaces and interaction techniques • developing descriptive and predictive models and theories of interaction People and task-centered

  6. HCI in Biodiversity Informatics • reduction of information complexity (spatial, historical, numerical, etc.) for human scales • potential for cross-over with other domains focus on organisms -- names, attributes, habitats, localities • potential for non-expert users: education, outreach

  7. Lunch table tomorrow Missing . . . data entry sensor nets algorithmic data mining text mining semantic web

  8. Organization of speakers Biodiversity • plants (White, Jacobs) • fungi (Farr) • animals (Allen, Nardi) • multiple (Parr, Shapley, Guimbetrere) Science process problems and tasks • data collection (Farr, Jacobs) • data exploration and analysis (Parr, Guimbetrere, White) • education and outreach (Shapley, Allen) • cross-cutting (Nardi) Technology • identification (Farr, Jacobs) • information retrieval (White, Allen) • interactive data visualization (Parr, Guimbetrere, Shapley, White) • collaboration (Nardi) Researcher background • Biologist-turned-technologist (Parr, Allen, Farr) • HCI researcher (Nardi, Guimbetrere, Shapley) • Other (White, Jacobs) Approaches to biodiversity • Evolution (Guimbetrere, Farr, Shapley, Jacobs) • Ecology and Environment(Parr, Allen, White, Nardi)

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